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This paper presents a comparative analysis of three traffic engineering technologies: MPLS, SD-WAN, and SRv6, highlighting their unique trade-offs and limitations in managing dynamic network traffic driven by modern applications. It proposes an AI-driven framework that utilizes predictive analytics and reinforcement learning to enhance traffic management, demonstrating significant improvements in latency, packet loss, and overall network performance. The findings suggest that AI-based traffic engineering is

Author

bogelasaleh

Language

EN